Bayesian statistics 5: proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Clarendon Press
1996
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| Schriftenreihe: | Oxford science publications
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 813 S. Ill., graph. Darst. |
| ISBN: | 0198523564 |
Internformat
MARC
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| 245 | 1 | 0 | |a Bayesian statistics 5 |b proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 |c ed. by J. M. Bernardo ... |
| 264 | 1 | |a Oxford |b Clarendon Press |c 1996 | |
| 300 | |a XI, 813 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 490 | 0 | |a Oxford science publications | |
| 650 | 7 | |a Inferencia parametrica |2 larpcal | |
| 650 | 7 | |a Statistique bayésienne - Congrès |2 ram | |
| 650 | 4 | |a Bayesian statistical decision theory |v Congresses | |
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Datensatz im Suchindex
| _version_ | 1804125594530611200 |
|---|---|
| adam_text | CONTENTS
I. INVITED PAPERS (with discussion)
Armero,
С.
and Bayarri, M. J.: Bayesian Questions and Answers in Queues
___ 3
Berger,
J. O.
and Pericchi,
L. R.:
The Intrinsic
Bayes
Factor for Linear Models
. 25
Berry, D.
Α.,
Thor,
Α.,
Cirrindone, C,
Edgerton, S.,
Muss,
H.,
Marks,
J.,
Liu,
Б.,
Wood,
W,
Budman,
D.,
Perloff,
M.,
Peters, W.
and Henderson, I. C:
Scientific Inference and Predictions; Multiplicities and Convincing Stories:
A Case Study in Breast Cancer Therapy
.................................... 45
Craig, P. S., Goldstein, M., Seheult, A. H. and Smith, J.
Α.:
Bayes
Linear Strate¬
gies for Matching Hydrocarbon Reservoir History
........................... 69
Diaconis, P. and Kemperman, J.: Some New Tools for Dirichlet Priors
......... 97
DuMouchel, W.: Predictive Cross-Validation of Bayesian Meta-Analyses
....... 107
Fienberg, S. E. and Finkelstein, M. O.: Bayesian Statistics and the Law
........ 129
French, S. The Framing of Statistical Decision Theory: A Decision Analytic View
147
Geif and, A. E., Sahu,
S. K.
and
Carlin, B.P.:
Efficient Parametrizations for Genera¬
lized Linear Mixed Models
............................................... 165
Green, E. J., Smith,
A. F. M.
and Strawderman,
W. E.:
Construction of Thematic
Maps from Satellite Imagery
.............................................. 181
Gustafson,
P., Srinivasan, C. and
Wasserman, L.:
Local Sensitivity Analysis
... 197
Hartigan, J.
Α.:
Bayesian Histograms
....................................... 211
Hjort,
N. L.:
Bayesian Approaches to
Non-
and Semiparametric Density Estimation
223
Mengersen, K. L. and Robert, C. P.: Testing for Mixtures: A Bayesian
Entropie
Approach
............................................................... 255
Morris,
С
N.
and Christiansen,
C. L.:
Hierarchical Models for Ranking and for
Identifying Extremes, with Applications
.................................... 277
Poison,
N.
G.: Convergence of Markov Chain
Montecarlo
Algorithms
.......... 297
Raftery, A. E., Madigan, D. and Volinsky,
С. Т.:
Accounting for Model Uncertainty
in Survival Analysis Improves Predictive Performance
....................... 323
Reid,
N.
Likelihood and Bayesian Approximation Methods
..................... 351
Singpurwalla,
N.
D., Wilson, S.P. and Fuller,
E. R.:
Statistical Aspects of Failure
Processes in Ceramics
.................................................... 369
Smith, J. Q.: Plausible Bayesian Games
..................................... 387
Spiegelhalter,
D. J., Thomas, A.
and Best,
N. G.:
Computation on Bayesian
Graphical Models
........................................................ 407
Sweeting,
T. J.:
Approximate Bayesian Computation Based on Signed Roots of
Log-Density Ratios
...................................................... 427
Tversky, A. and Koehler, D. J.: Support Theory: A Nonextensional Representation
of Probability Judgment
.................................................. 445
West, M.: Some Statistical Issues in Palaeoclimatology
........................ 461
Π.
CONTRIBUTED PAPERS
Andreev, A. and Arjas,
E.: A
note on Histogram Approximation in Bayesian
Density Estimation
....................................................... 487
Bielza,
C., Ríos-Insua, D.
and
Ríos-Insua, S.:
Influence Diagrams under
Partial Information
....................................................... 491
Contents
Buck,
C. E.
and Litton,
C. D.:
Mixtures,
Bayes
and Archaeology
............... 499
Carota,
С.
and
Parmigiani,
G.: On Bayes
Factors for
Nonparametric Alternatives
507
Cervera, J. L. and
Muñoz,
J.:
Proper Scoring Rules for Fractiles
............... 513
Covaliu, Z.: Sequential Diagrams and Influence Diagrams: A Complementary
Relationslüp
for Modeling and Solving Decision Problems
................... 521
Cowell, R. G.,
Dawid,
A. P. and
Sebastiani,
P.: A comparison of Sequential
Learning Methods for Incomplete Data
..................................... 533
Dmochowski, J.: Intrinsic Priors via Kullback-Leibler Geometry
............... 543
Faria,
A. E. and Smith, J. Q.: Conditional External Bayesianity in Decomposable
Influence Diagrams
...................................................... 551
Farrow, M. and Goldstein, M.: Diagnostic Geometry for
Bayes
Linear Prediction
Systems
................................................................ 561
Fourdrinier, D. and Wells,
M. T.:
Spherically Symmetric
Bayes
Estimators for a
Linear Subspace of a Normal Law
......................................... 569
Fraser, D. A. S.
and Reid, N.:
Bayes
Posteriors for Scalar Interest Parameters
___ 581
Gamerman, D. and Smith,
A. F. M.:
Bayesian Analysis of Longitudinal Data
Studies
................................................................. 587
Gelman,
Α.,
Roberts, G. O. and Gilks, W. R.: Efficient Metropolis Jumping Rules
599
Geweke, J.: Variable Selection and Model Comparison in Regression
........... 609
Giudici,
P.: Learning in Graphical Gaussian Models
........................... 621
Haylock, R. G. and O Hagan,
Α.:
On Inference for Outputs of Computationally
Expensive Algorithms with Uncertainty on the Inputs
........................ 629
Kennedy, M.
С
and O Hagan,
Α.:
Iterative Rescaling for Bayesian Quadrature
.. 639
Kokolakis, G. E. and Dellaportas, P.: Hierarchical Modelling for Classifying
Binary Data
............................................................. 647
Laws, D. J., Boys, R. J. and Glazebrook, K.
D.: A Bayes
Decision-Theoretic
Approach to Dimensionality Reduction in Screen Design
..................... 653
Liseo,
В.,
Petrella, L. and Salinetti, G.: Robust Bayesian Analysis: An Interactive
Approach
............................................................... 661
Mazzuchi, T. A. and Soyer, R: Adaptive Bayesian Replacement Strategies
...... 667
McMillan,
N.
J. and Berliner, L. M.: Hierarchical Image Reconstruction Using
Markov Random Fields
................................................... 675
Meehan, P. M., Dempster, A. P. and Brown,
E.
N.:
A
Belief Function Approach
to Likelihood Updating in a Gaussian Linear Model
......................... 685
Mira,
A. and
Pétrone, S.:
Bayesian Hierarchical Nonparametric Inference for
Change-Point Problems
................................................... 693
Naylor, J. C. and Marriot, J. M.: A Bayesian Analysis of Non-Stationary
AR
Series
705
Nunez, J. and Llacer, J.: A Bayesian Algorithm for Image Reconstruction with
Variable Hyperparameter
................................................. 713
Phillips, D. B. and Smith,
A. F. M.:
Stochastic Deformable Templates and Object
Tracking
................................................................ 723
Poirier,
D. J.:
Prior Beliefs About Fit
........................................ 731
Shortle, J. F. and Mendel, M.
В.:
The Geometry of Bayesian Inference
......... 739
Upsdell, M. P.: Choosing an Appropriate Covariance Function in Bayesian Smooth¬
ing
..................................................................... 747
Varshavsky, J. A. Intrinsic
Bayes
Factors for Model Selection with
Autoregressive
Data
.................................................................... 757
Contents xi
Verdinelli,
L and
Wasserman, L.:
Bayes
Factors,
Nuisance
Parameters
and Impre¬
cise Tests
............................................................... 765
Vounatsou, P. and Smith,
A. F. M.:
Graphical Methods for Simulation-based
Bayesian Inference
....................................................... 773
Walker, S. and Wakefield, J.: Bayesian Approaches to the Population Modelling
of
a
Monotonie
Dose-Response Relation
................................... 783
Wilkinson, D. J. and Goldstein,
M.: Bayes
Linear Adjustment for Variance
Matrices
................................................................ 791
Wilson, A. G. and Johnson, V. E.: Models for Shape Deformation
.............. 801
Wiper, M. P. and Pettit, L. L: On Improving a Model for Combining Experts
Forecasts
............................................................... 809
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| spelling | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 ed. by J. M. Bernardo ... Oxford Clarendon Press 1996 XI, 813 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Oxford science publications Inferencia parametrica larpcal Statistique bayésienne - Congrès ram Bayesian statistical decision theory Congresses Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1994 Valencia gnd-content Bayes-Entscheidungstheorie (DE-588)4144220-9 s DE-604 Bernardo, José M. (DE-588)1067685790 edt Valencia International Meeting on Bayesian Statistics 5 1994 Sonstige (DE-588)1235659-1 oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007439258&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 Inferencia parametrica larpcal Statistique bayésienne - Congrès ram Bayesian statistical decision theory Congresses Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)1071861417 |
| title | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 |
| title_auth | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 |
| title_exact_search | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 |
| title_full | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 ed. by J. M. Bernardo ... |
| title_fullStr | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 ed. by J. M. Bernardo ... |
| title_full_unstemmed | Bayesian statistics 5 proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 ed. by J. M. Bernardo ... |
| title_short | Bayesian statistics 5 |
| title_sort | bayesian statistics 5 proceedings of the fifth valencia international meeting june 5 9 1994 |
| title_sub | proceedings of the Fifth Valencia International Meeting, June 5 - 9, 1994 |
| topic | Inferencia parametrica larpcal Statistique bayésienne - Congrès ram Bayesian statistical decision theory Congresses Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| topic_facet | Inferencia parametrica Statistique bayésienne - Congrès Bayesian statistical decision theory Congresses Bayes-Entscheidungstheorie Konferenzschrift 1994 Valencia |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007439258&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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